Analysis on Facebook Utilization by their users after data processing

Dataset statistics

Number of variables	12
Number of observations	99003
Missing cells	11448
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.4 MiB
Average record size in memory	89.0 B

Variable types

Numeric	10
Categorical	2

Warnings

`age` is highly correlated with `age_clean`	High correlation
`likes_received` is highly correlated with `mobile_likes_received`	High correlation
`mobile_likes_received` is highly correlated with `likes_received`	High correlation
`age_clean` is highly correlated with `age`	High correlation
`age_clean` has 5723 (5.8%) missing values	Missing
`age_Group` has 5723 (5.8%) missing values	Missing
`likes_received` is highly skewed (γ1 = 112.0745682)	Skewed
`mobile_likes_received` is highly skewed (γ1 = 107.5312999)	Skewed
`userid` has unique values	Unique
`friend_count` has 1962 (2.0%) zeros	Zeros
`friendships_initiated` has 2997 (3.0%) zeros	Zeros
`likes` has 22308 (22.5%) zeros	Zeros
`likes_received` has 24428 (24.7%) zeros	Zeros
`mobile_likes` has 35056 (35.4%) zeros	Zeros
`mobile_likes_received` has 30003 (30.3%) zeros	Zeros

Reproduction

Analysis started	2021-04-25 06:21:03.998476
Analysis finished	2021-04-25 06:21:57.699678
Duration	53.7 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

userid
Real number (ℝ_≥0)

UNIQUE

Distinct	99003
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1597045.208
Minimum	1000008
Maximum	2193542
Zeros	0
Zeros (%)	0.0%
Memory size	773.6 KiB

Quantile statistics

Minimum	1000008
5-th percentile	1060618.3
Q1	1298805.5
median	1596148
Q3	1895744
95-th percentile	2133357.1
Maximum	2193542
Range	1193534
Interquartile range (IQR)	596938.5

Descriptive statistics

Standard deviation	344059.1775
Coefficient of variation (CV)	0.2154348391
Kurtosis	-1.199556831
Mean	1597045.208
Median Absolute Deviation (MAD)	298438
Skewness	0.0001076605667
Sum	1.581122667 × 10¹¹
Variance	1.183767176 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1159224	1	< 0.1%
1129202	1	< 0.1%
1055510	1	< 0.1%
1855227	1	< 0.1%
2110369	1	< 0.1%
1991449	1	< 0.1%
2128666	1	< 0.1%
1884335	1	< 0.1%
2082123	1	< 0.1%
1026848	1	< 0.1%
Other values (98993)	98993	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000008	1	< 0.1%
1000013	1	< 0.1%
1000015	1	< 0.1%
1000038	1	< 0.1%
1000059	1	< 0.1%

Value	Count	Frequency (%)
2193542	1	< 0.1%
2193538	1	< 0.1%
2193522	1	< 0.1%
2193499	1	< 0.1%
2193485	1	< 0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	101
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	37.28022383
Minimum	13
Maximum	113
Zeros	0
Zeros (%)	0.0%
Memory size	773.6 KiB

Quantile statistics

Minimum	13
5-th percentile	15
Q1	20
median	28
Q3	50
95-th percentile	90
Maximum	113
Range	100
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	22.58974831
Coefficient of variation (CV)	0.6059445462
Kurtosis	1.561446767
Mean	37.28022383
Median Absolute Deviation (MAD)	10
Skewness	1.415260654
Sum	3690854
Variance	510.2967289
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	5196	5.2%
23	4404	4.4%
19	4391	4.4%
20	3769	3.8%
21	3671	3.7%
25	3641	3.7%
17	3283	3.3%
16	3086	3.1%
22	3032	3.1%
24	2827	2.9%
Other values (91)	61703	62.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	484	0.5%
14	1925	1.9%
15	2618	2.6%
16	3086	3.1%
17	3283	3.3%

Value	Count	Frequency (%)
113	202	0.2%
112	18	< 0.1%
111	18	< 0.1%
110	15	< 0.1%
109	9	< 0.1%

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	773.6 KiB

male	58574
female	40254
no gender	175

Length

Max length	9
Median length	4
Mean length	4.822025595
Min length	4

Characters and Unicode

Total characters	477395
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	male
4th row	female
5th row	male

Value	Count	Frequency (%)
male	58574	59.2%
female	40254	40.7%
no gender	175	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	58574	59.1%
female	40254	40.6%
no	175	0.2%
gender	175	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	139432	29.2%
m	98828	20.7%
a	98828	20.7%
l	98828	20.7%
f	40254	8.4%
n	350	0.1%
o	175	< 0.1%
	175	< 0.1%
g	175	< 0.1%
d	175	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	477220	> 99.9%
Space Separator	175	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	139432	29.2%
m	98828	20.7%
a	98828	20.7%
l	98828	20.7%
f	40254	8.4%
n	350	0.1%
o	175	< 0.1%
g	175	< 0.1%
d	175	< 0.1%
r	175	< 0.1%

Value	Count	Frequency (%)
	175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	477220	> 99.9%
Common	175	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	139432	29.2%
m	98828	20.7%
a	98828	20.7%
l	98828	20.7%
f	40254	8.4%
n	350	0.1%
o	175	< 0.1%
g	175	< 0.1%
d	175	< 0.1%
r	175	< 0.1%

Value	Count	Frequency (%)
	175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	477395	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	139432	29.2%
m	98828	20.7%
a	98828	20.7%
l	98828	20.7%
f	40254	8.4%
n	350	0.1%
o	175	< 0.1%
	175	< 0.1%
g	175	< 0.1%
d	175	< 0.1%

tenure
Real number (ℝ_≥0)

Distinct	2426
Distinct (%)	2.5%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	537.8873749
Minimum	0
Maximum	3139
Zeros	70
Zeros (%)	0.1%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	47
Q1	226
median	412
Q3	675
95-th percentile	1575
Maximum	3139
Range	3139
Interquartile range (IQR)	449

Descriptive statistics

Standard deviation	457.6498739
Coefficient of variation (CV)	0.8508284359
Kurtosis	2.199058275
Mean	537.8873749
Median Absolute Deviation (MAD)	213
Skewness	1.535680925
Sum	53251388
Variance	209443.4071
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300	173	0.2%
303	170	0.2%
242	164	0.2%
272	163	0.2%
257	161	0.2%
297	161	0.2%
285	160	0.2%
280	160	0.2%
284	158	0.2%
278	158	0.2%
Other values (2416)	97373	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	70	0.1%
1	60	0.1%
2	72	0.1%
3	79	0.1%
4	86	0.1%

Value	Count	Frequency (%)
3139	3	< 0.1%
3129	1	< 0.1%
3128	1	< 0.1%
3101	1	< 0.1%
3019	1	< 0.1%

friend_count
Real number (ℝ_≥0)

ZEROS

Distinct	2562
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	196.3507873
Minimum	0
Maximum	4923
Zeros	1962
Zeros (%)	2.0%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	31
median	82
Q3	206
95-th percentile	720
Maximum	4923
Range	4923
Interquartile range (IQR)	175

Descriptive statistics

Standard deviation	387.304229
Coefficient of variation (CV)	1.972511719
Kurtosis	50.09427289
Mean	196.3507873
Median Absolute Deviation (MAD)	64
Skewness	6.059008484
Sum	19439317
Variance	150004.5658
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1962	2.0%
1	1816	1.8%
2	1117	1.1%
3	860	0.9%
5	789	0.8%
4	749	0.8%
10	737	0.7%
24	732	0.7%
6	720	0.7%
29	719	0.7%
Other values (2552)	88802	89.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1962	2.0%
1	1816	1.8%
2	1117	1.1%
3	860	0.9%
4	749	0.8%

Value	Count	Frequency (%)
4923	1	< 0.1%
4917	1	< 0.1%
4863	1	< 0.1%
4845	1	< 0.1%
4844	1	< 0.1%

friendships_initiated
Real number (ℝ_≥0)

ZEROS

Distinct	1519
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	107.4524711
Minimum	0
Maximum	4144
Zeros	2997
Zeros (%)	3.0%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	17
median	46
Q3	117
95-th percentile	418
Maximum	4144
Range	4144
Interquartile range (IQR)	100

Descriptive statistics

Standard deviation	188.786951
Coefficient of variation (CV)	1.756934475
Kurtosis	42.53560096
Mean	107.4524711
Median Absolute Deviation (MAD)	36
Skewness	5.150757415
Sum	10638117
Variance	35640.51287
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2997	3.0%
1	2212	2.2%
2	1551	1.6%
3	1355	1.4%
4	1352	1.4%
6	1328	1.3%
5	1328	1.3%
11	1319	1.3%
8	1314	1.3%
13	1279	1.3%
Other values (1509)	82968	83.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2997	3.0%
1	2212	2.2%
2	1551	1.6%
3	1355	1.4%
4	1352	1.4%

Value	Count	Frequency (%)
4144	1	< 0.1%
3654	1	< 0.1%
3594	1	< 0.1%
3538	1	< 0.1%
3415	1	< 0.1%

likes
Real number (ℝ_≥0)

ZEROS

Distinct	2924
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	156.0787855
Minimum	0
Maximum	25111
Zeros	22308
Zeros (%)	22.5%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	11
Q3	81
95-th percentile	726
Maximum	25111
Range	25111
Interquartile range (IQR)	80

Descriptive statistics

Standard deviation	572.2806808
Coefficient of variation (CV)	3.666614134
Kurtosis	200.4456878
Mean	156.0787855
Median Absolute Deviation (MAD)	11
Skewness	11.02370356
Sum	15452268
Variance	327505.1777
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	22308	22.5%
1	6928	7.0%
2	4434	4.5%
3	3240	3.3%
4	2507	2.5%
5	2027	2.0%
6	1806	1.8%
7	1618	1.6%
8	1430	1.4%
9	1381	1.4%
Other values (2914)	51324	51.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22308	22.5%
1	6928	7.0%
2	4434	4.5%
3	3240	3.3%
4	2507	2.5%

Value	Count	Frequency (%)
25111	1	< 0.1%
21652	1	< 0.1%
16732	1	< 0.1%
16583	1	< 0.1%
14799	1	< 0.1%

likes_received
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	2681
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	142.6893629
Minimum	0
Maximum	261197
Zeros	24428
Zeros (%)	24.7%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	59
95-th percentile	561
Maximum	261197
Range	261197
Interquartile range (IQR)	58

Descriptive statistics

Standard deviation	1387.919613
Coefficient of variation (CV)	9.726861091
Kurtosis	17384.94
Mean	142.6893629
Median Absolute Deviation (MAD)	8
Skewness	112.0745682
Sum	14126675
Variance	1926320.851
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	24428	24.7%
1	7305	7.4%
2	4541	4.6%
3	3347	3.4%
4	2669	2.7%
5	2373	2.4%
6	1873	1.9%
7	1680	1.7%
8	1538	1.6%
9	1351	1.4%
Other values (2671)	47898	48.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	24428	24.7%
1	7305	7.4%
2	4541	4.6%
3	3347	3.4%
4	2669	2.7%

Value	Count	Frequency (%)
261197	1	< 0.1%
178166	1	< 0.1%
152014	1	< 0.1%
106025	1	< 0.1%
82623	1	< 0.1%

mobile_likes
Real number (ℝ_≥0)

ZEROS

Distinct	2396
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	106.1162995
Minimum	0
Maximum	25111
Zeros	35056
Zeros (%)	35.4%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	46
95-th percentile	481.9
Maximum	25111
Range	25111
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	445.2529851
Coefficient of variation (CV)	4.195896268
Kurtosis	360.9885806
Mean	106.1162995
Median Absolute Deviation (MAD)	4
Skewness	14.16123656
Sum	10505832
Variance	198250.2207
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35056	35.4%
1	6297	6.4%
2	3941	4.0%
3	2917	2.9%
4	2265	2.3%
5	1794	1.8%
6	1598	1.6%
7	1395	1.4%
8	1212	1.2%
9	1149	1.2%
Other values (2386)	41379	41.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35056	35.4%
1	6297	6.4%
2	3941	4.0%
3	2917	2.9%
4	2265	2.3%

Value	Count	Frequency (%)
25111	1	< 0.1%
21652	1	< 0.1%
16732	1	< 0.1%
14039	1	< 0.1%
13529	1	< 0.1%

mobile_likes_received
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	2004
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	84.1204913
Minimum	0
Maximum	138561
Zeros	30003
Zeros (%)	30.3%
Memory size	773.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	33
95-th percentile	317
Maximum	138561
Range	138561
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	839.8894437
Coefficient of variation (CV)	9.984362083
Kurtosis	15522.64932
Mean	84.1204913
Median Absolute Deviation (MAD)	4
Skewness	107.5312999
Sum	8328181
Variance	705414.2777
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	30003	30.3%
1	8243	8.3%
2	4948	5.0%
3	3608	3.6%
4	2944	3.0%
5	2383	2.4%
6	2022	2.0%
7	1745	1.8%
8	1521	1.5%
9	1437	1.5%
Other values (1994)	40149	40.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	30003	30.3%
1	8243	8.3%
2	4948	5.0%
3	3608	3.6%
4	2944	3.0%

Value	Count	Frequency (%)
138561	1	< 0.1%
131244	1	< 0.1%
89911	1	< 0.1%
73333	1	< 0.1%
43410	1	< 0.1%

age_clean
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	0.1%
Missing	5723
Missing (%)	5.8%
Infinite	0
Infinite (%)	0.0%

Mean	33.37590051
Minimum	13
Maximum	80
Zeros	0
Zeros (%)	0.0%
Memory size	773.6 KiB

Quantile statistics

Minimum	13
5-th percentile	15
Q1	20
median	27
Q3	45
95-th percentile	66
Maximum	80
Range	67
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	16.54458902
Coefficient of variation (CV)	0.495704648
Kurtosis	-0.3645369504
Mean	33.37590051
Median Absolute Deviation (MAD)	9
Skewness	0.884072507
Sum	3113304
Variance	273.7234257
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	5196	5.2%
23	4404	4.4%
19	4391	4.4%
20	3769	3.8%
21	3671	3.7%
25	3641	3.7%
17	3283	3.3%
16	3086	3.1%
22	3032	3.1%
24	2827	2.9%
Other values (58)	55980	56.5%
(Missing)	5723	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	484	0.5%
14	1925	1.9%
15	2618	2.6%
16	3086	3.1%
17	3283	3.3%

Value	Count	Frequency (%)
80	136	0.1%
79	112	0.1%
78	162	0.2%
77	169	0.2%
76	178	0.2%

age_Group
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	5723
Missing (%)	5.8%
Memory size	97.0 KiB

18-24	25735
45+	22989
25-34	18639
<18	16592
35-44	9325

Length

Max length	5
Median length	5
Mean length	4.151350772
Min length	3

Characters and Unicode

Total characters	387238
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<18
2nd row	<18
3rd row	<18
4th row	<18
5th row	<18

Value	Count	Frequency (%)
18-24	25735	26.0%
45+	22989	23.2%
25-34	18639	18.8%
<18	16592	16.8%
35-44	9325	9.4%
(Missing)	5723	5.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
18-24	25735	27.6%
45	22989	24.6%
25-34	18639	20.0%
18	16592	17.8%
35-44	9325	10.0%

Most occurring characters

Value	Count	Frequency (%)
4	86013	22.2%
-	53699	13.9%
5	50953	13.2%
2	44374	11.5%
1	42327	10.9%
8	42327	10.9%
3	27964	7.2%
+	22989	5.9%
<	16592	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	293958	75.9%
Dash Punctuation	53699	13.9%
Math Symbol	39581	10.2%

Most frequent character per category

Value	Count	Frequency (%)
4	86013	29.3%
5	50953	17.3%
2	44374	15.1%
1	42327	14.4%
8	42327	14.4%
3	27964	9.5%

Value	Count	Frequency (%)
+	22989	58.1%
<	16592	41.9%

Value	Count	Frequency (%)
-	53699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387238	100.0%

Most frequent character per script

Value	Count	Frequency (%)
4	86013	22.2%
-	53699	13.9%
5	50953	13.2%
2	44374	11.5%
1	42327	10.9%
8	42327	10.9%
3	27964	7.2%
+	22989	5.9%
<	16592	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387238	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	86013	22.2%
-	53699	13.9%
5	50953	13.2%
2	44374	11.5%
1	42327	10.9%
8	42327	10.9%
3	27964	7.2%
+	22989	5.9%
<	16592	4.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	userid	age	gender	tenure	age_clean	age_Group
0	2094382	14	male	266.0	14.0	<18
1	1192601	14	female	6.0	14.0	<18
2	2083884	14	male	13.0	14.0	<18
3	1203168	14	female	93.0	14.0	<18
4	1733186	14	male	82.0	14.0	<18
5	1524765	14	male	15.0	14.0	<18
6	1136133	13	male	12.0	13.0	<18
7	1680361	13	female	0.0	13.0	<18
8	1365174	13	male	81.0	13.0	<18
9	1712567	13	male	171.0	13.0	<18

Last rows

	userid	age	gender	tenure	friend_count	friendships_initiated	likes	likes_received	mobile_likes	mobile_likes_received	age_clean	age_Group
98993	1654565	19	male	394.0	4538	4144	4501	15088	4435	5961	19.0	18-24
98994	2063006	20	female	402.0	1988	332	7351	106025	7248	73333	20.0	18-24
98995	1132164	20	female	699.0	3611	973	4507	7768	4414	6909	20.0	18-24
98996	1668695	24	female	182.0	2938	1272	6018	17765	5843	11708	24.0	18-24
98997	1458985	28	female	290.0	2218	1618	4626	10268	4290	4250	28.0	25-34
98998	1268299	68	female	541.0	2118	341	3996	18089	3505	11887	68.0	45+
98999	1256153	18	female	21.0	1968	1720	4401	13412	4399	10592	18.0	<18
99000	1195943	15	female	111.0	2002	1524	11959	12554	11959	11462	15.0	<18
99001	1468023	23	female	416.0	2560	185	4506	6516	4506	5760	23.0	18-24
99002	1397896	39	female	397.0	2049	768	9410	12443	9410	9530	39.0	35-44

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows